LangChain open-sources evaluation methodology for Deep Agents, emphasizing targeted testing over volume to improve AI agent reliability in production. LangChain has published its internal methodology ...

Recommender systems suggest potentially relevant content by evaluating user preferences and are essential in reducing information overload. However, when users join a new online platform, ...

Most LLM agents work well for short tool-calling loops but start to break down when the task becomes multi-step, stateful, and artifact-heavy. LangChain’s Deep Agents is designed for that gap. The ...

Targeted protein degradation, particularly using PROTACs, offers a promising strategy to treat diseases. However, designing effective PROTACs remains challenging due to limitations in current ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Agent workflows make transport a first-order ...

Deep tech startups in sectors such as space, semiconductors, and biotech take far longer to mature than conventional ventures. Because of that, India is adjusting its startup rules, and mobilizing ...

LangChain releases Deep Agents with subagents and skills primitives to tackle context bloat in AI systems. Here's what developers need to know. LangChain has released Deep Agents, a framework designed ...

Abstract: This paper introduces a novel hybrid framework, ICEEMDAN-PatchTST+FDPO, which integrates advanced signal decomposition, Transformer-based time series forecasting, and forecast-driven ...

Abstract: This article introduces a large-scale, nonintrusive person identification (PrID) framework using footstep-induced structural vibration signals. The increasing adoption of structural ...